Evidence map›Paper›PMID 38780218›Full record

SynthesisJMIR public health and surveillance2024

Dose-Response Relationship Between Physical Activity and the Morbidity and Mortality of Cardiovascular Disease Among Individuals With Diabetes: Meta-Analysis of Prospective Cohort Studies.

Yang Chen, Xingsheng Jin, Guochong Chen, Ru Wang, Haili Tian

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06749249 (Enjoyment Mediates Long-term Changes in Physical Activity Level in a Physical Activity on Prescription Intervention), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06749249 completednot on this map

Enjoyment Mediates Long-term Changes in Physical Activity Level in a Physical Activity on Prescription Intervention

Typeobservational_patient_registrySponsorVastra Gotaland RegionRan2010 to 2019Enrolled444ConditionsHealth Behavior, Physical Activity, Metabolic Syndrome, Primary Health Care
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yang ChenSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.ORCID 0009-0001-7537-7705
Xingsheng JinSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.ORCID 0009-0009-1510-7250
Guochong ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.ORCID 0000-0002-6815-5653
Ru WangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.ORCID 0000-0001-9301-2323
Haili TianSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.ORCID 0000-0002-6455-5465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes, a chronic condition affecting various organs, is frequently associated with abnormal lipid metabolism, notably increased cholesterol and triglyceride levels. These lipid abnormalities are closely linked to the development and advancement of cardiovascular disease (CVD). Although regular physical activity (PA) has consistently shown benefits in reducing CVD risk in the general population, its precise influence on CVD risk among patients with diabetes remains uncertain, particularly regarding dose-response relationships.

objectiveThis study aimed to summarize the evidence from prospective studies on the association between PA and CVD morbidity and mortality in individuals with diabetes and explore the optimal levels for public health recommendation.

methodsWe systematically reviewed prospective cohort studies in PubMed, Embase, and Web of Science up to December 2022, with inclusion criteria specifying the studies published in English and included adult participants diagnosed with diabetes. A random effects model was used to pool the relative risk (RR) with the corresponding 95% CI comparing the highest with the lowest PA categories in each study for qualitative evaluation. In addition, linear and spline regression analyses were used to estimate dose-response associations.

resultsThe meta-analysis included 12 prospective cohort studies, involving a total of 109,820 participants with diabetes. The combined results revealed that higher levels of PA were associated with a reduced risk of CVD. The RR of CVD for the highest compared with the lowest PA category was 0.62 (95% CI 0.51-0.73). In addition, there were 4 studies describing leisure-time PA, and the pooled RR was 0.68 (95% CI 0.52-0.83) for the highest versus the lowest activity. The linear regression model revealed that each 10 MET (metabolic equivalent of task)-hours per week of incrementally higher PA was associated with a 19% (95% CI 11.6-25.7) and a 6.9% (95% CI 4.5-9.3) reduction in CVD morbidity and mortality. Additionally, spline regression curves showed nonlinear relationships between PA levels and the risk of CVD and CVD mortality (both P

conclusionsFor patients with diabetes, especially type 2 diabetes, there was a dose-response relationship between increased PA and reduced risk of CVD morbidity and mortality. The observed PA threshold is consistent with the recommended level for the general population. Gradually moving from inactivity to a guideline-recommended PA level could therefore significantly reduce the burden of CVD in patients with diabetes.

Indexed as

Cardiovascular DiseasesDiabetes MellitusExerciseCohort StudiesHumansMorbidityProspective Studiescardiovascular riskdiabetesdiabeticsdose-response associationexercisemeta-analysisphysical activity

Identifiers

PMID38780218
PMCPMC11369533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.